Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Finance at Brex

The Finance team is a strategic engine at Brex. We lead planning, forecasting, capital allocation, and ROI analysis , partnering across the business to drive clarity and unlock opportunity. We partner across teams at Brex to ensure our business is building and planning with the same dream big goals throughout our entire organization. We’re not here to report on outcomes; we shape them.

If you want to influence company direction and think long-term about value creation, this is where your ownership starts.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in the office - Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do

As the Finance Manager, Commissions, you will be crucial in driving our company's success by ensuring accurate and effective commission structures and payouts for our sales and revenue teams. Your work will directly impact our salesforce motivation and productivity, helping us achieve our growth targets. You will join our dynamic finance team and collaborate with senior leadership across various departments.

We are seeking an individual who is passionate about our business, possesses strong analytical skills, and demonstrates strategic thinking to help optimize our commission processes as we expand. The ideal candidate should thrive in tackling challenges and be adept at addressing complex problems with a high degree of organization and attention to detail.

Reporting to the Director of Finance, the Finance Manager, Commissions will be key members of the Finance team, responsible for designing, implementing, and managing our commission structures.

Responsibilities

• Assists in designing and modeling commission and sales incentive plans. Partner with sales management to provide cost-impact solutions and/or opportunities related to commission/incentive designs.

• Own the Captivate IQ strategy, implementation, and reporting of commission/incentive processing policies and procedures.

• Ensure commission and sales incentive payments have been properly processed.

• Prepare monthly commission and sales incentive payment summary reports for Executive leadership with trend analysis and forecast projections.

• Analyze sales performance data to provide insights and recommendations to senior leadership on commission-related decisions.

• Act as a liaison within Finance, fostering alignment with the Sales, Revenue, and Operations teams to ensure commission accuracy and effectiveness.

• Continuously improve and streamline commission processes to enhance efficiency and transparency.

• Respond to escalated calls regarding complex commission or sales incentive-related processing problems.

Requirements

• BA/BS degree, preferably in Business, Finance, or Accounting

• 4+ years of relevant finance, commissions, revenue operations, or sales operations experience.

• Experience with implementing and maintaining Captivate IQ.

• Proven track record of leading a team in a distributed work environment

• Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions

• Experience retrieving and handling large amounts of data in Excel or other database systems

• Highly self-motivated and stellar work ethic with strong attention to detail

Nice to Have

• Advanced analytical skills and significant knowledge and understanding of US GAAP

• Experience working in a SaaS company or other recurring revenue model business

• Experience with Salesforce, Looker, and Hex Compensation

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level , from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead an engineering group focused on building the systems and product experiences that power customer activation at Brex, including onboarding, account setup, verifications, integrations, and implementation workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys.

The ideal candidate is a seasoned engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding and implementation experience.

• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.

• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.

• Drive execution of the Activation roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.

• Lead and manage multiple teams of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.

• Build systems that integrate identity verification, KYC and compliance workflows, customer data ingestion, and implementation tooling in a scalable and reliable manner.

• Drive continuous improvement in engineering processes, technical architecture, and product quality.

• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Strong technical background and understanding of software development principles.

• Expertise leading full-stack engineering teams delivering end-to-end product experiences.

• Demonstrated track record of shipping customer-facing features across multiple release cycles.

• 3+ years of experience managing or leading multiple technical teams in a high-growth environment.

• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.

• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.

• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.

• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.

• You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!

• You are a champion for the customer and constantly put yourself in their shoes to create intuitive, frictionless experiences.

Compensation

The expected salary range for this role is $300,000 - $375,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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You will design and maintain trustworthy data models for core marketing metrics, manage the full lifecycle from prototyping through production, and develop and govern dbt data pipelines. You will also build and optimize dashboards that deliver real-time, self-serve insights across high-priority marketing areas, drive data independence for Marketing stakeholders, and collaborate with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.

You will serve as the primary data partner for marketing managers, demand generation teams, and leadership, translating complex data insights into clear business recommendations via dashboards, memos, and presentations. You will achieve a comprehensive mastery of Airtable's marketing data models, existing pipelines, and BI tools within the first 6 months, becoming the definitive internal expert.

This is a genuinely AI-native role, requiring active, demonstrated daily use of AI coding tools such as Cursor, Claude, ChatGPT, and Gemini. You must provide specific, concrete examples of how these tools are integral to your work, moving beyond simple familiarity.

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Join us at Brex, the intelligent finance platform that enables companies to spend smarter and move faster. We're looking for a seasoned engineering leader to lead our engineering group focused on building the systems and product experiences that power customer activation at Brex.

As a Senior Engineering Manager, you will be responsible for driving business and product strategies, collaborating with cross-functional partners, leveraging AI to reimagine and automate onboarding and implementation workflows, and leading and managing multiple teams of engineers.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Strong technical background and understanding of software development principles
• Expertise leading full-stack engineering teams delivering end-to-end product experiences
• Demonstrated track record of shipping customer-facing features across multiple release cycles
• 3+ years of experience managing or leading multiple technical teams in a high-growth environment

Bonus points:

• Experience with data platforms such as Snowflake, Hex, or similar
• You have started your own technology venture or were an early technical founder/employee

Compensation:

The expected salary range for this role is $300,000 - $375,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity.

If you're a champion for the customer and constantly put yourself in their shoes to create intuitive, frictionless experiences, we'd love to hear from you!

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

As the Finance Manager, Commissions, you will be crucial in driving our company's success by ensuring accurate and effective commission structures and payouts for our sales and revenue teams. Your work will directly impact our salesforce motivation and productivity, helping us achieve our growth targets.

Responsibilities

Assists in designing and modeling commission and sales incentive plans. Partner with sales management to provide cost-impact solutions and/or opportunities related to commission/incentive designs.

Own the Captivate IQ strategy, implementation, and reporting of commission/incentive processing policies and procedures.

Ensure commission and sales incentive payments have been properly processed.

Prepare monthly commission and sales incentive payment summary reports for Executive leadership with trend analysis and forecast projections.

Analyse sales performance data to provide insights and recommendations to senior leadership on commission-related decisions.

Act as a liaison within Finance, fostering alignment with the Sales, Revenue, and Operations teams to ensure commission accuracy and effectiveness.

Continuously improve and streamline commission processes to enhance efficiency and transparency.

Respond to escalated calls regarding complex commission or sales incentive-related processing problems.

Requirements

BA/BS degree, preferably in Business, Finance, or Accounting

4+ years of relevant finance, commissions, revenue operations, or sales operations experience.

Experience with implementing and maintaining Captivate IQ.

Proven track record of leading a team in a distributed work environment.

Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions.

Experience retrieving and handling large amounts of data in Excel or other database systems.

Highly self-motivated and stellar work ethic with strong attention to detail.

Nice to Have

Advanced analytical skills and significant knowledge and understanding of US GAAP.

Experience working in a SaaS company or other recurring revenue model business.

Experience with Salesforce, Looker, and Hex Compensation.

The expected salary range for this role is $155,000-$194,000 USD. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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You'll own forecasting and capacity planning across our support organisation, including FTE teams, AI-powered support channels, and vendor/contractor partnerships. This means building models that predict volume based on product launches, model releases, and customer growth; analysing the relationship between support metrics and business outcomes; and ensuring we have the right resources in the right places to meet our service commitments.

Responsibilities:

Workforce Planning & Forecasting

• Build and maintain staffing models that translate SLA targets into headcount requirements across FTE and vendor teams
• Forecast support volume by analysing historical trends, product release calendars, model launches, and customer base growth projections
• Factor AI support effectiveness (automation rates, deflection, Fin AI Agent performance) into capacity models to ensure accurate human staffing projections
• Partner with vendor managers to align contractor capacity with demand forecasts and service level requirements
• Model scenarios to inform strategic decisions about staffing investments, vendor mix, and coverage models
• Develop frameworks for prioritising automation initiatives based on volume impact and deflection potential

Analytics & Reporting

• Maintain and enhance dashboards that track productivity, response times, CSAT, queue health, and other key support metrics
• Investigate the relationship between support performance and business outcomes (e.g., how response time and satisfaction impact retention and churn)
• Surface trends and insights that inform operational decisions,identifying what's driving volume, where bottlenecks emerge, and where investment is needed
• Translate complex data into clear recommendations for leadership and cross-functional partners

Operational Partnership

• Collaborate with Support Ops, AI Support, and Human Support teams to ensure data and forecasts align with operational reality
• Partner with Finance on headcount planning, budget alignment, and quarterly capacity reviews
• Work with Product and Engineering to anticipate how launches and feature changes will impact support demand
• Contribute to vendor performance management by establishing metrics frameworks and reporting cadences

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At Cloudflare, we are on a mission to help build a better Internet. We run one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

About the Team

Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state advanced persistent threats (APTs).

About the Role

We are seeking a talented Senior Manager, Incident Response to join us in growing our Cloudforce One organization, where you will be instrumental in building a proactive and threat intelligence-driven approach to protecting Cloudflare and its customers from sophisticated and evolving threat actors.

Responsibilities

As a REACT Consultant, you will respond to customer security incidents in on-premises and cloud environments. You will detect and disrupt cyber threat activity across customer networks and cloud environments. You will engage with customers at all levels including Executive, VP, Director, and managerial levels. You will serve an integral role in the discovery and analysis of cyber threat intrusions, working alongside forensic analysts, threat researchers, detection engineers, and malware analysts to detect and mitigate malicious activity.

The findings you uncover will help identify Tactics, Techniques, and Procedures (TTPs) of ongoing threat activity to protect your customer and the greater Cloudflare customer base.

Requirements

Our ideal candidate will have 1-2 years of previous experience in cybersecurity with at least 1+ years in Digital Forensics or Incident Response. Candidates will have experience with hands-on forensic analysis in a Windows, Mac, and Linux environment. Ideally, this candidate will have experience triaging malware using static or dynamic analysis on Windows, macOS, or UNIX-based platforms.

You will be responsible correlating threat actor activity across the customers environment. Outstanding candidates will possess excellent verbal and written communication skills. You will also have experience with incident response reports and reliably be able to write simple scripts in Python or Golang.

Examples of desirable skills, knowledge and experience include:

• Bachelor's degree in Computer Science, Information Systems, Cybersecurity, related technical field, or equivalent training/practical experience
• 3+ years of previous experience in cyber security
• 2+ years of Incident Response experience
• 1+ years of customer-facing role
• Incident Response: experience conducting or managing incident response investigations for organizations, investigating targeted threats such as the Advanced Persistent Threat, Organized Crime, and Hacktivists
• Computer Forensic Analysis: a background using a variety of forensic analysis tools in incident response investigations to determine the extent and scope of compromise
• Network Forensic Analysis: strong knowledge of network protocols, network analysis tools like Bro/Zeek or Suricata, and ability to perform analysis of associated network logs
• Reverse Engineering: ability to understand the capabilities of static and dynamic malware analysis
• Incident Remediation: strong understanding of targeted attacks and able to create customized tactical and strategic remediation plans for compromised organizations
• Network Operations and Architecture/Engineering: strong understanding of secure network architecture and strong background in performing network operations
• Cloud Incident Response: knowledge in any of the following areas: AWS, Azure, GCP incident response methodologies
• Communications: strong ability to communicate executive and/or detailed level findings to clients; ability to effectively communicate tasks, guidance, and methodology with internal teams
• Strong written and verbal communication skills, with the ability to establish and maintain strong working relationships with business groups
• Technical knowledge of common network protocols and design patterns including TCP/IP, HTTPS, FTP, SFTP, SSH, RDP, CIFS/SMB, NFS
• Familiarity with various cloud environments (AWS, Azure, O365, Google, Cloudflare)
• Understanding of MITRE ATT&CK and NIST Cyber Security Frameworks standards and requirements
• In-depth understanding of Windows operating systems and general knowledge of Unix, Linux, and Mac operating systems

Bonus Points:

• Proficient in Python or Golang, capable of writing modular code that can be installed on a remote system
• Proficient with Yara and writing rules to detect similar malware samples
• Understanding of source code, hex, binary, regular expression, data correlation, and analysis such as network flow and system logs
• Practical malware analysis experience with static, dynamic, and automated malware analysis techniques
• Possess mid-level experience as a Malware Analyst able to reverse engineer various file formats and analyze complex malware samples
• Reverse engineering experience with APT malware with an understanding of common infection vectors
• Knowledgeable of current malware techniques to evade detection and obstruct analysis
• Experience writing malware reports on unique and interesting aspects of malware
• Experience with malware attribution
• Experience with tracking and identifying threats through Indicator of Compromise (IOCs) pivoting and infrastructure enumeration
• Familiarity with bash command line executables to conduct static analysis and investigate IOCs

Travel requirements

Ability to travel up to 20% of the time

Position may require foreign and domestic travel, passport will be required

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The Finance team is a strategic engine at Brex, leading planning, forecasting, capital allocation, and ROI analysis. We partner across teams to drive clarity and unlock opportunity. If you want to influence company direction and think long-term about value creation, this is where your ownership starts.

As the Finance Manager, Commissions, you will be crucial in driving our company's success by ensuring accurate and effective commission structures and payouts for our sales and revenue teams. Your work will directly impact our salesforce motivation and productivity, helping us achieve our growth targets.

Responsibilities: Assists in designing and modeling commission and sales incentive plans. Owns the Captivate IQ strategy, implementation, and reporting of commission/incentive processing policies and procedures. Ensures commission and sales incentive payments have been properly processed. Prepares monthly commission and sales incentive payment summary reports for Executive leadership with trend analysis and forecast projections. Analyzes sales performance data to provide insights and recommendations to senior leadership on commission-related decisions. Acts as a liaison within Finance, fostering alignment with the Sales, Revenue, and Operations teams to ensure commission accuracy and effectiveness. Continuously improves and streamlines commission processes to enhance efficiency and transparency. Responds to escalated calls regarding complex commission or sales incentive-related processing problems.

Requirements: BA/BS degree, preferably in Business, Finance, or Accounting. 4+ years of relevant finance, commissions, revenue operations, or sales operations experience. Experience with implementing and maintaining Captivate IQ. Proven track record of leading a team in a distributed work environment. Exceptional communication and interpersonal skills with proven success partnering and collaborating across various functions. Experience retrieving and handling large amounts of data in Excel or other database systems. Highly self-motivated and stellar work ethic with strong attention to detail.

Nice to Have: Advanced analytical skills and significant knowledge and understanding of US GAAP. Experience working in a SaaS company or other recurring revenue model business. Experience with Salesforce, Looker, and Hex Compensation.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.

What you’ll do

You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex, including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly.

This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys.

The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.

Responsibilities

• Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.

• Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.

• Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.

• Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.

• Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.

• Drive continuous improvement in engineering processes, technical architecture, and product quality.

• Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• 6+ years of software engineering experience with strong technical depth.

• 3+ years of experience managing or leading engineers in a high-growth environment.

• Strong technical background and understanding of software development principles.

• Expertise leading full-stack engineering teams delivering end-to-end product experiences.

• Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.

• Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.

• Track record building AI-powered product experiences, including LLM-driven automation and personalization.

Bonus points

• Experience with data platforms such as Snowflake, Hex, or similar.

• Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.

• You have started your own technology venture or were an early technical founder/employee.

Experience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: $240,000 CAD - $300,000 CAD Required Skills:

• Software engineering experience
• Technical leadership
• AI-powered product experiences
• Data-driven mindset
• Cross-functional collaboration

Preferred Skills:

• Data platforms (Snowflake, Hex)
• Onboarding, implementation, identity, workflow automation
• Customer lifecycle products
• Technology venture founding/early employee experience

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In this role, you will program and operate Coordinate Measurement Machines (CMMs) and other advanced metrology equipment to perform dimensional inspections of aerospace components. You will verify that all measurements meet drawing requirements, GD&T specifications, and AS9100 quality standards.

You will provide end-to-end metrology support, from new product introduction through routine inspections and root cause investigations, playing a key role in the development and delivery of cutting-edge aircraft systems. This is an opportunity to work hands-on with next-generation technology and contribute directly to the safety, performance, and reliability of aircraft shaping the future of aviation.

$35 - $53 an hour

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

Role Summary

As a Solution Operations, you will serve as a strategic business partner to our Solution team. This team, composed of AI Deployment Strategists, Infrastructure Solution Architects, and Applied AI Engineers, designs, deploys, and optimizes AI solutions that directly solve our enterprise customers' most complex challenges.

Responsibilities

Worldwide Strategic Staffing & Capacity Planning - across all geographies

• Develop and execute a forward-looking staffing strategy aligned with business forecasts, including resource allocation, staffing ratios across regions, and technical deployment metrics.

• Build and maintain a prioritization framework for recruitment (role type, geography) to ensure the Solutions team is staffed for high-impact customer engagements.

• Accelerate time-to-value by minimizing time-to-staff through efficient matching systems between skills and customer requirements.

Data-Driven Staffing Optimization

• Identify and operationalize key metrics to measure staffing efficiency, team utilization, and impact on customer success and revenue.

• Create and maintain reporting mechanisms to track staffing KPIs, including time-to-staff, skill gaps, and deployment success rates.

• Synthesize and implement actionable recommendations to improve staffing processes and cross-functional alignment.

Scalable Staffing Systems & Automation

• Design and implement scalable processes, automations, and tools to streamline talent deployment and reduce operational friction.

• Optimize the Mistraler lifecycle (onboarding to project allocation) by ensuring seamless transitions and maximizing team productivity.

• Identify and eliminate bottlenecks in staffing workflows, leveraging automation to enhance agility and responsiveness to customer needs.

Cross-Functional Collaboration

• Partner with Sales, Product, Revenue Operations, Talent Acquisition and HR to align staffing capabilities with customer demands and business priorities.

• Support the development of the Solution team offerings and technical engagement models that maximize customer success.

• Collaborate with Product teams to ensure Solutions team feedback is integrated into the product roadmap.

Prepare materials for executive reviews, highlighting staffing successes, challenges, and strategic recommendations.

About you

• 3+ years of experience in strategic operations, staffing, chief of staff or resource management within technical sales, solutions engineering, or professional services environments.

• Proven track record in optimizing processes, impacting business KPIs, and aligning resources with business priorities.

• Experience in staffing, resource management, or talent deployment is a strong plus.

• Strong analytical skills, with experience in Salesforce, data warehouses, and BI tools (e.g., Looker, Hex, BigQuery).

• Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities.

• Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments.

• Technical acumen: understanding of AI implementation, use cases, and scaling challenges is a strong plus.

• Bachelor’s degree required; MBA or advanced degree preferred.

• Fluency in English (native level); additional European languages are a plus.

Benefits

France

• Competitive cash salary and equity

• Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company

• Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership

• Transportation: Monthly contribution to a mobility pass via Betterway

• Health: Full health insurance for you and your family

• Parental: Generous parental leave policy

• Visa sponsorship

• Coaching: we offer BetterUp coaching on a voluntary basis

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Helpshift helps B2B brands deliver this modern customer service experience through a mobile-first approach. We have changed how conversations take place, moving the conversation away from a slow, outdated email and desktop experience to an in-app chat experience that allows users to interact with brands in their own time.

Through our market-leading AI-powered chatbots and automation, we help brands deliver instant and rapid resolutions. Because agents play a key role in delivering help, our platform gives agents superpowers with automation and AI that simply works.

About the Team

Consumers care first and foremost about having their time valued by brands. Brands need insights into their customer service operation to serve their consumers effectively. Such insights and analytics are delivered through various data products like in-app analytics dashboards and data-sharing integrations.

The data platform team is responsible for designing, building, and maintaining the data infrastructure that enables such data and analytics products at scale. We build and manage data pipelines, databases, and other data structures to ensure that the data is reliable, accurate, and easily accessible.

We also enable internal stakeholders with business intelligence and machine learning teams with data ops. This team manages the platform that handles 2 Million events per minute and processes 1+ terabytes of data daily.

About the Role

• Building maintainable data pipelines both for data ingestion and operational analytics for data collected from 2 billion devices and 900M Monthly active users
• Building customer-facing analytics products that deliver actionable insights and data, easily detect anomalies
• Collaborating with data stakeholders to see what their data needs are and being a part of the analysis process
• Write design specifications, test, deployment, and scaling plans for the data pipelines
• Mentor people in the team & organization

Requirements

• 3+ years of experience in building and running data pipelines that scale for TBs of data
• Proficiency in high-level object-oriented programming language (Python or Java) is must
• Experience in Cloud data platforms like Snowflake and AWS, EMR/Athena is a must
• Experience in building modern data lakehouse architectures using Snowflake and columnar formats like Apache Iceberg/Hudi, Parquet, etc
• Proficiency in Data modeling, SQL query profiling, and data warehousing skills is a must
• Experience in distributed data processing engines like Apache Spark, Apache Flink, Datalfow/Apache Beam, etc
• Knowledge of workflow orchestrators like Airflow, Dasgter, etc is a plus
• Data visualization skills are a plus (PowerBI, Metabase, Tableau, Hex, Sigma, etc)
• Excellent verbal and written communication skills
• Bachelor’s Degree in Computer Science (or equivalent)

Benefits

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

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You'll own forecasting and capacity planning across our support organisation, including FTE teams, AI-powered support channels, and vendor/contractor partnerships. This means building models that predict volume based on product launches, model releases, and customer growth; analysing the relationship between support metrics and business outcomes; and ensuring we have the right resources in the right places to meet our service commitments.

This is a high-ambiguity role where you'll often be building from scratch. We're looking for someone who can create structure where none exists, ask the right questions to scope problems, and translate messy data into narratives that drive action.

Responsibilities:

• Build and maintain staffing models that translate SLA targets into headcount requirements across FTE and vendor teams
• Forecast support volume by analysing historical trends, product release calendars, model launches, and customer base growth projections
• Factor AI support effectiveness (automation rates, deflection, Fin AI Agent performance) into capacity models to ensure accurate human staffing projections
• Partner with vendor managers to align contractor capacity with demand forecasts and service level requirements
• Model scenarios to inform strategic decisions about staffing investments, vendor mix, and coverage models
• Develop frameworks for prioritising automation initiatives based on volume impact and deflection potential

Analytics & Reporting:

• Maintain and enhance dashboards that track productivity, response times, CSAT, queue health, and other key support metrics
• Investigate the relationship between support performance and business outcomes (e.g., how response time and satisfaction impact retention and churn)
• Surface trends and insights that inform operational decisions—identifying what's driving volume, where bottlenecks emerge, and where investment is needed
• Translate complex data into clear recommendations for leadership and cross-functional partners

Operational Partnership:

• Collaborate with Support Ops, AI Support, and Human Support teams to ensure data and forecasts align with operational reality
• Partner with Finance on headcount planning, budget alignment, and quarterly capacity reviews
• Work with Product and Engineering to anticipate how launches and feature changes will impact support demand
• Contribute to vendor performance management by establishing metrics frameworks and reporting cadences

You might be a good fit if you:

• Have 4+ years of experience in workforce management, support operations analytics, business analytics, or similar roles—ideally in a support or customer success context
• Are deeply analytical with strong SQL skills and experience with data warehouses (e.g., BigQuery) and analysis tools like Hex, Looker, or similar
• Have hands-on experience with forecasting and capacity planning, including modelling staffing needs against service level targets
• Are comfortable working with ambiguity—you can take a vague question, scope it into an answerable problem, and deliver insights that drive decisions
• Understand support operations metrics (SLAs, handle time, CSAT, deflection rates) and can connect them to business impact
• Have experience working with BPO or vendor partners on staffing, performance, and capacity alignment
• Communicate clearly—you can translate technical analysis into narratives that resonate with both operational teams and executives
• Are curious about AI and excited to work in an environment where the product and support landscape evolve rapidly
• Thrive in fast-paced environments and can balance building foundational infrastructure with responding to urgent business questions
• Have experience with workforce management platforms (e.g., Assembled, NICE, Calabrio) is a plus, but not required

The annual compensation range for this role is $131,040 - $165,000 USD.

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We’re looking for someone to own the technical foundation for how Cursor measures marketing performance end-to-end. You will build reliable tracking (client + server-side), wire up CRM and warehouse integrations, and create reporting that the paid and lifecycle teams can trust for optimization and experimentation. This role sits at the intersection of marketing ops, data engineering, and analytics, and will partner closely with paid media, revenue ops, and data.

What you’ll do

• Implement server-side tracking using Stape.io (or similar server-side GTM hosting)

• Configure and maintain pixels/tags and GTM containers (client + server) across platforms, including:
• Google Ads (Enhanced Conversions)
• Meta Pixel + Conversions API
• LinkedIn Insight Tag
• Other networks (Bing, TikTok, Reddit, etc.)

• Operationalize new marketing experiments (UTMs, tracking parameters, campaign setup, routing rules) so initiatives are measurable from day one

• Set up integrations that push CRM events back to ad networks for optimization (SQLs, Opportunities, Closed Won)

• Manage syncing of CRM and warehouse audiences into ad platforms and marketing tools (via Hightouch or similar), ensuring segmentation accuracy and timely refreshes

• Build automations using native integrations or tools like Zapier / Make / Clay, webhooks, or APIs when needed

• Build or connect data sources for reporting dashboards (Roadway, Fibbler, Hex, and other BI tools)

• Build and maintain core marketing + pipeline dashboards, and validate data accuracy across systems (CRM, ad platforms, warehouse, BI)

• Partner with the paid team to run measurement studies (for example, geo-lift holdouts) and interpret results

• Configure conversion events across ad platforms, and ensure consistent event definitions and naming

• Run testing and QA via Tag Assistant, Events Manager, and related tooling

• Debug tracking and attribution issues when platform data does not match (for example, Google Ads vs CRM), and drive fixes to resolution

You may be a fit if

• You have built and maintained modern marketing tracking stacks, including server-side setups (GTM server-side, Stape, or similar)

• You are comfortable working across GTM, ad platform pixels, conversion APIs, and event schemas

• You have experience integrating CRM outcomes back into ad platforms (offline conversions, lead stages, pipeline, revenue)

• You can work with data pipelines and audience sync tools (Hightouch or similar) and care about data quality

• You have experience building reliable reporting in BI tools and can validate source-of-truth metrics across systems

• You are strong at debugging and can systematically troubleshoot tracking discrepancies

• You can collaborate with paid media, lifecycle, RevOps, and data teams in a high-ownership environment

• You move fast, document what matters, and raise issues early when measurement is at risk

• You are willing to go above and beyond when it matters

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Describe your experience implementing server-side tracking. What tool(s) did you use?

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The MarTech Manager will sit at the intersection of marketing, data, and revenue operations, owning the systems and pipelines that power how we acquire, engage, and convert customers. This role partners closely with Marketing, RevOps, and Data to design, build, and maintain a scalable, reliable marketing technology stack. You’ll be responsible for everything from integrating tools and modeling data to enabling experimentation, attribution, and lifecycle orchestration. This is a hands-on, high-impact role for someone who enjoys both building and problem-solving in a fast-moving environment.

What You'll Do

• Design, build, and maintain integrations across our marketing and revenue tech stack, including Salesforce, Iterable, Clay, and our data warehouse

• Own marketing data pipelines using tools like Python, dbt, and Hex to ensure clean, reliable, and well-modeled data

• Partner with Marketing to enable lifecycle programs, lead scoring, segmentation, and personalization at scale

• Implement and maintain attribution, experimentation, and reporting frameworks that support data-driven decision making

• Translate marketing and revenue requirements into technical solutions, balancing speed, scalability, and data integrity

• Debug data quality and system issues across tools and proactively improve reliability and observability

• Document systems, data models, and workflows to support long-term maintainability and knowledge sharing

• Evaluate and recommend new tools or approaches as our go-to-market motion evolves

Required Skills & Experience

• 6+ years of experience in Marketing Technology, Revenue Operations, Data Engineering, or a related technical role

• Strong proficiency in Python and SQL, with experience building and maintaining production data pipelines

• Hands-on experience with modern analytics and transformation tools such as dbt and Hex (or similar)

• Deep familiarity with Salesforce data models, integrations, and marketing use cases

• Experience working with marketing automation and engagement platforms (e.g., Iterable, Marketo, HubSpot, Braze)

• Comfort integrating third-party tools and APIs (e.g., Clay or enrichment vendors)

• Strong understanding of marketing funnels, lifecycle marketing, and attribution concepts

• Ability to work cross-functionally and translate business problems into technical solutions

• High attention to data quality, documentation, and system reliability

Full-Time Employee Benefits Include:

• Competitive Salary & Equity

• 401(k) Program with a 4% match

• Health, Dental, Vision and Life Insurance

• Short Term and Long Term Disability

• Paid Parental, Medical, Caregiver Leave

• Commuter Benefits

• Monthly Wellness Stipend

• Autonomous Work Environment

• In Office Set-Up Reimbursement

• Flexible Time Off (FTO) + Holidays

• Quarterly Team Gatherings

• In Office Amenities

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The MarTech Manager will sit at the intersection of marketing, data, and revenue operations, owning the systems and pipelines that power how we acquire, engage, and convert customers. This role partners closely with Marketing, RevOps, and Data to design, build, and maintain a scalable, reliable marketing technology stack. You’ll be responsible for everything from integrating tools and modeling data to enabling experimentation, attribution, and lifecycle orchestration. This is a hands-on, high-impact role for someone who enjoys both building and problem-solving in a fast-moving environment.

What You'll Do

• Design, build, and maintain integrations across our marketing and revenue tech stack, including Salesforce, Iterable, Clay, and our data warehouse

• Own marketing data pipelines using tools like Python, dbt, and Hex to ensure clean, reliable, and well-modeled data

• Partner with Marketing to enable lifecycle programs, lead scoring, segmentation, and personalization at scale

• Implement and maintain attribution, experimentation, and reporting frameworks that support data-driven decision making

• Translate marketing and revenue requirements into technical solutions, balancing speed, scalability, and data integrity

• Debug data quality and system issues across tools and proactively improve reliability and observability

• Document systems, data models, and workflows to support long-term maintainability and knowledge sharing

• Evaluate and recommend new tools or approaches as our go-to-market motion evolves

Required Skills & Experience

• 6+ years of experience in Marketing Technology, Revenue Operations, Data Engineering, or a related technical role

• Strong proficiency in Python and SQL, with experience building and maintaining production data pipelines

• Hands-on experience with modern analytics and transformation tools such as dbt and Hex (or similar)

• Deep familiarity with Salesforce data models, integrations, and marketing use cases

• Experience working with marketing automation and engagement platforms (e.g., Iterable, Marketo, HubSpot, Braze)

• Comfort integrating third-party tools and APIs (e.g., Clay or enrichment vendors)

• Strong understanding of marketing funnels, lifecycle marketing, and attribution concepts

• Ability to work cross-functionally and translate business problems into technical solutions

• High attention to data quality, documentation, and system reliability

Full-Time Employee Benefits Include

• Competitive Salary & Equity

• 401(k) Program with a 4% match

• Health, Dental, Vision and Life Insurance

• Short Term and Long Term Disability

• Paid Parental, Medical, Caregiver Leave

• Commuter Benefits

• Monthly Wellness Stipend

• Autonomous Work Environment

• In Office Set-Up Reimbursement

• Flexible Time Off (FTO) + Holidays

• Quarterly Team Gatherings

• In Office Amenities

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Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here.

Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.

For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.

Do not invent information that is not in the original ad.

About the role The Anti-Abuse team is the front line defending Replit's platform from exploitation. We detect and shut down phishing deployments, prevent cryptomining on free-tier infrastructure, stop LLM token farming, and keep bad actors from weaponizing the platform against our users. This is adversarial work: attackers adapt constantly, and we build the detection systems, heuristics, and automated responses that stay ahead of them.

What makes this role unique is the AI-native nature of Replit's platform. You'll work on problems that barely exist elsewhere: building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse. If you want hands-on experience applying AI to security problems, this is one of the few places you can do it in production with real attackers. You'll own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.

In this role you will…

• Design and implement LLM guardrails that detect abuse scenarios in AI-generated code and agent interactions
• Build AI-powered detection systems that use LLMs to identify malicious patterns, classify threats, and automate response decisions
• Build and operate abuse detection systems that identify phishing, cryptomining, account takeover, and financial fraud across millions of daily user actions
• Design automated response mechanisms that enforce platform policies without manual intervention
• Own the full abuse response lifecycle: detection, investigation, enforcement, and handling appeals alongside Support and Legal
• Analyze attack patterns using BigQuery and Hex, turning investigation findings into new detection rules
• Maintain and extend internal detection tools (Slurper, Netwatch) that continuously monitor user activity
• Integrate and tune security scanners (SAST, SCA) in CI pipelines with tight performance SLAs
• Track abuse trends, measure detection effectiveness, and adapt defenses as attack patterns evolve

Required skills and experience:

• 4+ years of experience in security engineering, anti-abuse, trust & safety, or fraud detection
• Strong programming skills in Python and/or TypeScript for building detection systems and automation
• Experience with SQL and data analysis at scale (BigQuery, Snowflake, or similar)
• Experience building or fine-tuning ML/LLM-based classifiers for security or abuse detection
• Familiarity with prompt injection, jailbreaking, and other LLM-specific attack vectors
• Ability to investigate complex abuse patterns and translate findings into automated defenses
• Familiarity with common attack patterns: phishing infrastructure, account takeover, credential stuffing, resource abuse
• Clear communication skills for working across Security, Support, Legal, and Engineering teams.

Nice to have:

• Experience at a platform company dealing with user-generated content or compute abuse (hosting providers, cloud platforms, developer tools)
• Background in fraud detection, payment abuse, or financial crime
• Familiarity with device fingerprinting, IP reputation, and email validation services
• Experience with CI/CD security tooling (SAST, SCA, Dependabot, Snyk)
• Knowledge of container security, Linux internals, or cloud infrastructure (GCP preferred)
• Prior work with abuse reporting pipelines, trust & safety tooling, or content moderation systems

Tools + Tech Stack for this role

• Languages: Python, TypeScript, Go, SQL
• Data: BigQuery, Hex
• Detection tools: Slurper, Netwatch, Stytch (device fingerprint); ClearOut (email reputation)
• CI/CD Security: Dependabot, Snyk, SAST/SCA scanners
• Infrastructure: GCP, Kubernetes
• Collaboration: Linear, Slack, Zendesk (for abuse reports)

This role may _not_ be a fit if

• You prefer deep security research over building operational detection systems
• You want to focus on vulnerability management, pentesting, or bug bounty triage (that's our Security team)
• You're looking for a role with predictable, well-defined problems rather than constantly adapting to adversarial behavior
• You prefer working in isolation rather than partnering closely with Support, Legal, and cross-functional teams
• You're uncomfortable making enforcement decisions that affect real users

_This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._

Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings ☕ In Office Amenities

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